This “one-size-fits-all” approach often results in treatments being successful for some patients but not for others. The emergence of precision medicine aims to change this, by taking into account individual differences in people’s underlying biological characteristics. Precision medicine gives healthcare practitioners better tools to improve understandings of complex mechanisms underlying a patient’s health or disease, and to better predict which treatments will be most effective. The technology underlying the InsightRX platform incorporates the principles of quantitative pharmacology and machine learning to provide an individualized understanding of a patient’s response to treatment. Quantitative pharmacology describes in mathematical and statistical language the relationship(s) between disease, drug action, and individual variability, which enables patient specific quantitative decision-making. The InsightRX platform delivers this technology in the form of easy to use clinical decision support tools at the point of care to help guide treatment decision-making. The InsightRX platform guides treatment decisions at both the individual level and the population level. At the individual level, drug concentration and biomarker data are collected over-time to learn about the patient response and optimize treatment. At the population level, as more data is collected in larger patient populations, or in infrequently encountered patient populations, our pharmacological models and clinical algorithms that guide treatment recommendations will learn and will become more precise. Learn more at http://www.insight-rx.com/.
